Triple

T15355022
Position Surface form Disambiguated ID Type / Status
Subject Dr. Julia Harris E367149 entity
Predicate primaryLanguageInWork P118239 FINISHED
Object English LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: English | Statement: [Dr. Julia Harris, primaryLanguageInWork, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageInWork
Context triple: [Dr. Julia Harris, primaryLanguageInWork, English]
  • A. primaryLanguageIn
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • D. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • E. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69deca991e5081908b0df3d1ee7d5338 completed April 14, 2026, 11:15 p.m.
PDg Predicate description generation batch_69decf2e413481909d9180a8d78d2c17 completed April 14, 2026, 11:35 p.m.
Created at: April 10, 2026, 3:18 a.m.